What type of GoldenGate feature enables vector changes to be replicated?

The feature that enables vector changes to be replicated is Distributed AI Processing. This is because Distributed AI Processing allows for the handling of data in large-scale environments, where advanced algorithms can process and manage data across multiple locations. In the context of Oracle GoldenGate, it facilitates the replication of data changes, including complex data types like vectors, efficiently across distributed systems.

This feature is particularly important as it ensures that any changes made to vector data are consistently captured and replicated in real-time or near-real-time, allowing applications that rely on AI and machine learning to have the most up-to-date data for processing. This capability supports seamless integration and scalability in environments that might involve diverse datasets, which is vital for maintaining the integrity and accuracy of the replicated vector data.

Other choices, such as Text Processing, Batch Processing, and Snapshot Isolation, do not specifically address the replication of vector changes. Text Processing deals more with analyzing and processing textual data rather than vector data. Batch Processing pertains to handling data in deliberate batches instead of real-time changes, and Snapshot Isolation relates to database transaction handling that ensures consistency but does not directly involve vector data replication.